Report NEP-ECM-2022-12-19

This is the archive for NEP-ECM, a report on new working papers in the area of Econometrics. Sune Karlsson issued this report. It is usually issued weekly.

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Other reports in NEP-ECM

The following items were announced in this report:

• Niko Hauzenberger & Florian Huber & Karin Klieber & Massimiliano Marcellino, 2022. "Bayesian Neural Networks for Macroeconomic Analysis," Papers 2211.04752, arXiv.org, revised Apr 2024.
• Eoghan O'Neill, 2022. "Type I Tobit Bayesian Additive Regression Trees for Censored Outcome Regression," Papers 2211.07506, arXiv.org, revised Feb 2024.
• Clint Harris, 2022. "Interpreting Instrumental Variable Estimands with Unobserved Treatment Heterogeneity: The Effects of College Education," Papers 2211.13132, arXiv.org.
• Michael P. Leung & Pantelis Loupos, 2022. "Graph Neural Networks for Causal Inference Under Network Confounding," Papers 2211.07823, arXiv.org, revised Mar 2024.
• Giovanni Mellace & Alessandra Pasquini, 2022. "Mediation Analysis Synthetic Control," Temi di discussione (Economic working papers) 1389, Bank of Italy, Economic Research and International Relations Area.
• Peter Arcidiacono & Attila Gyetvai & Arnaud Maurel & Ekaterina S. Jardim, 2022. "Identification and Estimation of Continuous-Time Job Search Models with Preference Shocks," NBER Working Papers 30655, National Bureau of Economic Research, Inc.
• Nguyen, Loc PhD, PostDoc, 2022. "Extreme bound analysis based on correlation coefficient for optimal regression model," OSF Preprints wjnz3, Center for Open Science.
• Khushboo Surana, 2022. "How different are we? Identifying the degree of revealed preference heterogeneity," Discussion Papers 22/09, Department of Economics, University of York.
• Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022. "Constructing Fan Charts from the Ragged Edge of SPF Forecasts," Working Papers 22-36, Federal Reserve Bank of Cleveland.
• Steven Campbell & Ting-Kam Leonard Wong, 2022. "Efficient convex PCA with applications to Wasserstein GPCA and ranked data," Papers 2211.02990, arXiv.org, revised Aug 2024.
• Katarzyna Kopczewska, 2021. "Spatial Machine Learning – New Opportunities for Regional Science," Working Papers 2021-16, Faculty of Economic Sciences, University of Warsaw.
• Duo Qin, 2022. "Redirect the Probability Approach in Econometrics Towards PAC Learning," Working Papers 249, Department of Economics, SOAS University of London, UK.